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Amazon Web Services Solutions Architect Associate

Amazon Web Services (AWS)

Software Engineer with 3+ years experience in front end, 3+ years in back end, and 1.5 years in AI.
Experienced in multiple programming languages, with a get-it-done, on-time, and high-quality product spirit. 

Here is my resume: https://docs.google.com/document/d/1lmHBAttQGvR0F768Nw_imJ6hke-_l5yv/edit#

National Taiwan University of Science and Technology

Fu Jen Catholic University

Software Engineer

郭鎮源

Trend Micro

❖ Experience that dealt with PB level mail metadata, using Spark to aggregate data, analyze data or build ML models.
❖ Experiment with heuristic rule to reduce FP email error rate for Microsoft teams mail by 69%.
❖ Refactoring the classification service, converting the Rule-based (python) into ML-based (go), the recall achieves 95%.
❖ Experiment to train Bert model extracting mail’s subject into embedding vectors for multi-task learning, the average of recall
achieves 98%.
❖ Stress testing for Bert model of tf-serving service, tuning service params and instance’s params.
❖ Optimize bert service by using TenorRT, increasing QPS from 300 to 1500 and reducing GPU cost by 2⁄3.
❖ Implement bert Tokenizer algo by go. (following python code to implement).
❖ Build up the SafetyNet for customer outbound contact people based on domain and address , recusing 10% FP case.

❖ Debugged client’s Campaigns, then released campaigns to production.
❖ Delivered datafeed and model’s result to MySQL, then displayed result to demo site (Simulate client’s situation). Add the some features and fix bugs on the demo site.
❖ Developed API using Node Red, integrated EPA API and MaxMind to identify location, then return UVI (GoeHash & distance measure).
❖ Designed CMS backend server, developing transform datafeed to csv, and cron job triggers automatically.

台灣

Appier

Solution engineer 

❖ Refactored the frontend’s project architecture to clean code, optimizing the development process.
❖ Developed frontend’s UI components, using pure css (styled-components) to build custom components .
❖ Used axios and relay to connect restful API and GraphQL.

Home心-線上照服平台

Frontend Engineer

❖ Used Regression&Booting model to analyze potential key factor.
❖ Built data pipeline automatic procedure.

Data Engineer

❖ Developed AWS Lambda API for object detection using OpenCV.
❖ Refactored dashboard platform’s frontend, optimized web speed and redesign project structure.
❖ Built Flow test request system(flask, Django ), like DDOS system combined with AWS services, simulating million requests to test server tolerable.
❖ Developed E-commerce platform frontend’s components (Typescript react).

郭鎮源’s posts